EP3916376B1 - Portable device and method for non-invasive blood glucose level estimation - Google Patents
Portable device and method for non-invasive blood glucose level estimation Download PDFInfo
- Publication number
- EP3916376B1 EP3916376B1 EP20745840.7A EP20745840A EP3916376B1 EP 3916376 B1 EP3916376 B1 EP 3916376B1 EP 20745840 A EP20745840 A EP 20745840A EP 3916376 B1 EP3916376 B1 EP 3916376B1
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- light
- estimation
- signal
- parameter
- glucose level
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- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/024—Detecting, measuring or recording pulse rate or heart rate
- A61B5/02405—Determining heart rate variability
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- A61B5/024—Detecting, measuring or recording pulse rate or heart rate
- A61B5/02438—Detecting, measuring or recording pulse rate or heart rate with portable devices, e.g. worn by the patient
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- A61B5/05—Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radio waves
- A61B5/053—Measuring electrical impedance or conductance of a portion of the body
- A61B5/0531—Measuring skin impedance
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- A61B5/08—Detecting, measuring or recording devices for evaluating the respiratory organs
- A61B5/0816—Measuring devices for examining respiratory frequency
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- A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
- A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
- A61B5/1116—Determining posture transitions
- A61B5/1117—Fall detection
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- A61B5/145—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue
- A61B5/1455—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue using optical sensors, e.g. spectral photometrical oximeters
- A61B5/14551—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue using optical sensors, e.g. spectral photometrical oximeters for measuring blood gases
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- A61B5/7271—Specific aspects of physiological measurement analysis
- A61B5/7275—Determining trends in physiological measurement data; Predicting development of a medical condition based on physiological measurements, e.g. determining a risk factor
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
- G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
- G01N21/31—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
- G01N2021/3125—Measuring the absorption by excited molecules
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2201/00—Features of devices classified in G01N21/00
- G01N2201/02—Mechanical
- G01N2201/022—Casings
- G01N2201/0221—Portable; cableless; compact; hand-held
Definitions
- the object of the invention described herein falls within the area of Information and Communication Technologies (ICT).
- ICT Information and Communication Technologies
- the object of the invention is located in the context of biomedical engineering and medical technology, as it encompasses the development of portable electronic devices for monitoring physiological variables of people and their health state, in general, and the blood glucose level, in particular.
- Reverse iontophoresis is based on the flow of a small electrical current through the skin, between an anode and a cathode placed on the surface of the skin. Applying an electrical potential between the anode and the cathode causes the migration of sodium and chloride ions under the skin towards the cathode and anode, respectively. Uncharged molecules, such as glucose, are carried along with the ions following the convective flow. This flow causes the interstitial glucose to be transported through the skin, thus being collected at the cathode, where it is measured by a traditional sensor.
- the main drawback of this technique is that long exposure times to the electrical potential are required which often tend to cause irritation in the skin.
- Two examples of patents based on this technique are US6885882 and WO2008/120936 .
- Impedance spectroscopy is based on the injection of current at multiple frequencies and on the measurement of the voltage produced in the measurement body region.
- the measurement of glucose is performed indirectly starting from the analysis of the influence thereof on the impedance spectrum.
- Some examples of patents based on this technique are ES2445700 , ES2582185 , WO2007/053963 , US2005/0192488 , US2016/0007891 and US2015/0164387 .
- Optical coherence tomography is a non-invasive imaging test based on low-coherence light interferometry.
- the interference pattern obtained contains information on the optical characteristics of the sample and more specifically on the changes in the refractive index which can be used for the glucose level estimation.
- the main disadvantage of this method is the complexity thereof and the need for expensive and large devices. Furthermore, it is sensitive to the movement of the device, heterogeneity of the tissue, and the interferences with other analytes.
- the patents US2007/0027372 and US2016/0058347 make use of this method.
- Polarimetry is a technique based on the measurement of the optical rotation produced on a polarised light beam when it passes through an optically active substance. Due to the fact that the high scattering coefficient of the skin causes beam depolarisation, most researchers focus their attention on the aqueous humour of the eye. Some limitations of this method are the errors due to eye movement, light exposure safety standards so that no damage occurs, and the discomfort when performing the measurements in the eye. Polarimetry is used in patents ES2313140 , US4014321 , EP0534166 , US6704588 and US6442410 .
- Infrared thermal spectroscopy measures the thermal radiation emitted by the human body as a result of changes in glucose concentration. This method has many error sources, such as the movement of the measuring device, the ambient temperature, and the variation in the body and tissue temperatures. US2005/0043630 is an example of a patent based on this method.
- Raman spectroscopy is based on the use of a laser beam which induces the rotation and oscillation of the molecules in a solution.
- the consequent emission of the scattered light is influenced by this vibration of the molecules, which depends on the concentration of the solutes in the solution.
- Its main disadvantage is that the biological tissue can be damaged due to the powerful laser of the Raman system. This technique is used in ES2093243 , ES2206610 , ES2314906 , US5448992 , US8355767 and US2016/0100777 .
- Photoacoustic spectroscopy is based on the use of a laser beam to excite a fluid and consequently generate an acoustic response.
- the photoacoustic signal depends on the specific heat of the tissue, which in turn depends on glucose concentration.
- the main limitation of this technique is its sensitivity to chemical (other biological compounds) and physical (changes in temperature and pressure) interferences.
- EP1346684 makes use of this method.
- Infrared spectroscopy is based on the absorption of infrared radiation by vibrating molecules. A molecule will absorb energy from a light beam if its vibration frequency matches the light wavelength. This way, glucose concentration can be estimated according to the variation in the intensity of the light crossing through a tissue. As fundamental advantages, it can be highlighted that it is a completely non-invasive technology, the assembly of the systems is simple and the cost is relatively low. Near-infrared (NIR) spectroscopy ranges from 700 nm to 2500 nm and mid-infrared (MIR) spectroscopy ranges from 2500 nm to 10 ⁇ m. Given that the present invention is based on the infrared spectroscopy technique, a review of the state of the art on the application of this technique for the estimation of glucose concentration and other analytes is performed below.
- NIR near-infrared
- MIR mid-infrared
- Patent CN104970802 uses near-infrared spectroscopy in the spectrum range between 1500 nm to 3000 nm, but does not indicate how to obtain the glucose values.
- the device is integrated into a wristwatch which includes a microprocessor and a Bluetooth transmission module. Furthermore, it includes a gravity sensor for the estimation of steps while walking and a skin temperature sensor.
- Patent CN105232055 uses a 1610 nm infrared light source on the earlobe.
- the device is based on an optical spectroscopy measurement with two trajectories: one for a light beam of which serves as a reference, and another trajectory affected by the reflection on the body measuring area.
- Document BRPI1001332 A2 uses near-infrared transmission measurements through a finger or an ear lobe with a wavelength in the spectrum between 1300 nm to 2400 nm sensitive to glucose variations and a reference wavelength of 805 nm insensitive to the influence of hemoglobin in order to evaluate glucose concentrations in a user's blood.
- Patent ES2133643 uses two wavelengths for glucose estimation.
- the device of patent US2017/105663 performs two spectroscopy measurements in the near-infrared region and fits the data using a convolution function and a Monte Carlo simulation.
- the apparatus described in EP0869348 irradiates the measuring area in three wavelengths: a first wavelength related to the absorption peak of the OH group of the glucose molecule (typically 1550 nm to 1650 nm), a second wavelength related to an absorption peak of the NH group (typically 1480 nm to 1550 nm) and a third wavelength related to the absorption peak of the CH group (typically 1650 nm to 1880 nm). It estimates the glucose level starting from the radiation received by means of a multivariate analysis.
- a low coherence light beam is irradiated to the eyeball.
- the beam which is reflected from different depths of the eyeball interferes with another reference light beam reflected from a mirror capable of moving.
- the method used enables the light coming from the interface between the cornea and the anterior aqueous chamber (aqueous humour) to be separated from the light coming from the interface between the anterior aqueous chamber and the crystalline lens.
- the optical absorbance of the aqueous humour is calculated from the captured intensities of the two light beams. The process is repeated at different wavelengths in order to obtain the glucose concentration in the aqueous humour.
- Patents US2005/0107676 and WO2006/047273 use a broadband infrared light source and different optical filters in order to estimate the absorption spectrum of the infrared light between 1100 and 1900 nm. In order to avoid the influence of the temperature, they include an active temperature control system in the sensor area. Patents US2005/020892 and US7299080 have similar features, but in the range comprised between 1150 to 1850 nm. Furthermore, they use different optical fibers for the access to different detection areas. The use of multiple probes minimises the interference in the sample spectrum due to placement errors.
- CN102198004 uses a halogen bulb as an infrared source and a digital signal processor (DSP) for glucose estimation.
- DSP digital signal processor
- Such light source emits a range of wavelengths from 600 to 2500 nm, covering the absorption wavelengths bands of glucose and water. It uses the spectrum and a neural network in order to estimate the glucose level.
- Patents GB2531956 and WO2015/097190 describe an apparatus for characterising an analyte, which can be glucose, in a superficial layer of the skin.
- a reflector implanted beneath the superficial layer of the skin receives incident radiation which has passed through the body measuring area and reflects it through it to a sensor located outside the body. It also uses the analysis method of Raman spectroscopy. Furthermore, in order to promote hair growth in the measuring area, the possibility of applying growth factors is indicated.
- Invention CN103344597 describes a method for estimating the concentration of sugar and salt in lotus roots. It uses the mid-infrared spectroscopy technique and a model which is calibrated by the least squares method starting from measurements performed on a set of samples with concentrations of 5%, 10%, 15%, 20% of salt and sugar.
- Patent WO2012/048897 shows a method for classifying sugar beet seeds by means of the absorption spectrum of the samples in the infrared region.
- Patent ES2102259 describes a procedure for the analytical determination of glucose concentration in a biological matrix, based on the calculation of the propagation time of light within the biological matrix under study.
- the method described in US2011/0184260 makes two light sources with different polarisation strike the sample, estimating the glucose from the comparison of the light captured in each polarisation.
- ES2086969 characterises the concentration of glucose level in a biological matrix starting from the light received in two detectors located at different distances with respect to the emitter.
- Patent GB2482378 describes an optical device and a method for the non-invasive determination of an analyte concentration in a tissue sample.
- the device has two optical interfaces whereon the incident light is reflected, the second one being located on the sample.
- the interfaces are arranged in order to generate an interference pattern as a consequence of the phase difference between the light reflected from the first interface and the light reflected from the second interface.
- US6043492 makes use of two Fabry-Perot interferometers in order to obtain the absorption spectrum of glucose in the near-infrared region.
- WO2001/007894 protects a procedure for determining the concentration of an analyte (albumin, cholesterol, glucose, total protein, triglycerides and urea) in a biological fluid comprising the following steps: drying a sample of the fluid on a glass plate in order to produce a film on the plate; directing an infrared beam through the plate and film at an infrared wavelength between 2500 to 5000 nm; and analysing the spectrum thus acquired in order to determine the concentration of the analyte in the film.
- an analyte albumin, cholesterol, glucose, total protein, triglycerides and urea
- absorption spectroscopy is an analytical technique used to determine the concentration of one or more substances in a sample.
- Absorption spectroscopy is performed using a device called a spectrophotometer, which in the most basic form thereof is formed by a light source, a sample holder, and a detector.
- Documents WO2003076883 and US7133710 are based on spectrophotometers which measure different wavelengths in the range from 1180 to 2320 nm. The light produced from the source (incident light) passes through the sample to a detector which measures the amount of light transmitted.
- the absorbance of the sample is proportional to the logarithm of the amount of incident light illuminating a sample divided by the amount of light transmitted through the sample.
- the incident light is obtained by measuring the amount of light which reaches the detector without the sample.
- the intensity of the incident light must be significantly greater than the amount of light required to saturate the detector.
- One method to compensate detector saturation is to use a smaller integration time (time the detector is exposed to light before the measurement) for the reference measurement.
- the use of different integration times for the measurements of the sample and the reference can lead to an error in analyte determinations.
- Patent WO2001/015596 describes an artificial filter made of polytetrafluoroethylene (PTFE) and glass fibre which mimics the absorbance spectrum of a part of the body and includes the spectral components of blood.
- PTFE polytetrafluoroethylene
- Other similar patents are US6015610 and US5596450 .
- any variation in the filter as a result of temperature fluctuations can affect the precision in the estimations.
- Patent US2003/0174321 describes an artificial filter for wavelengths comprised between 600 nm and 1650 nm which is robust to variations in temperature.
- ATR attenuated total reflection
- a light beam is made to strike a crystal.
- the size and shape of the crystal favour a series of internal reflections before the beam can exit the crystal with the information.
- the upper surface of the crystal is located on the surface of the sample, which can be the skin. When the infrared beam strikes the crystal upper surface at an angle which exceeds a critical angle, the beam is completely reflected inside the crystal. Each reflection against the upper surface provides a little more information about the sample composition.
- the reflected beam includes an evanescent wave which penetrates a short distance into the sample over a wide range of wavelengths. In those regions of the infrared spectrum wherein the sample absorbs radiation, a part of the light does not return back to the crystal. The amount of light absorbed provides the information necessary for the quantification of glucose level.
- JP2001174405 is an invention similar to the previous ones, but it uses a single wavelength generated by a laser and a total reflecting prism as a crystal.
- JPH11188009 Another example is JPH11188009 , wherein an ATR prism or an optical fiber is used.
- WO2006/079797 describes an apparatus for measuring an analyte such as glucose by means of an electrically heated ribbon as an infrared light source, an ATR waveguide, waveguide collimators and light detectors.
- the collimator and the detector are positioned with respect to the waveguide at an adjustable angle.
- the value of glucose is obtained by applying a predictive algorithm to measurements taken at different time intervals.
- the effect of temperature is compensated for with the measurement of a temperature sensor and pressure is controlled by a pressure sensor.
- Patent WO2016/086448 also includes as an innovative element a pressure sensor in order to normalise the glucose estimations.
- the document JP2010217097 describes a spectrometer which includes a light source in the mid-infrared region, an ATR unit, and a set of optical bandpass filters in order to detect the different wavelengths. Each of the filters is activated by means of the rotation of a prism actuated by a motor.
- Patents CN103919560 and CN103919561 are also based on the ATR technique, but in this case the reflection element is the end of an optical fiber, which is implanted underneath the skin. The sensitivity of the measurement is reinforced by metal nanoparticles located at the end of the optical fiber.
- Other documents based on ATR are JPH0856565 , which uses different wavelengths comprised between 8333 and 11111 nm in order to estimate the degree of fermentation in a fluid; US2003/031597 and US7438855B2 , which use an ATR prism and a customised calibration curve in order to estimate glucose concentration; or US2004/0097796 .
- CN101947115 describes an implantable system for the measurement of glucose concentration in human blood based on ATR on optical fibre.
- the light is divided into two different optical paths: in one path the light is coupled to the optical fiber by means of an ATR sensor, in the other path the light received is used directly as a reference signal.
- Patent WO2002/082990 uses the infrared spectroscopy technique based on the Fourier transform. Rather than projecting a monochromatic light beam onto the sample, this technique generates a light beam which contains multiple wavelengths at once and measures the amount absorbed by the sample. The process is repeated numerous times, modifying the beam in order to contain different combinations of wavelengths. Finally, a computer infers the absorption at each wavelength starting from all the measurements.
- JP2008/256398 which incorporates a procedure for the elimination of noise generated by water
- KR2015/0122381 applied to the estimation of galactose and anhydrous galactose in liquid media
- US6865408 which integrates a diffuse reflectance accessory which creates an interferogram, from which a computer system estimates glucose level
- WO2013/135249 which uses as a basis a commercial infrared spectrometer based on the Fourier transform (Shimadzu IRPrestige - 21/8400S, Japan) and an ATR crystal prism mounted on a PIKE Technologies accessory (ATR-8200 HA), or CN1194133 , wherein another commercial spectrometer (Nicolet Magna-IR 750 Series II) is used.
- the present invention refers to a device and the method as defined in the claims used by such device for non-invasive blood glucose level estimation.
- the device is formed by two devices: a measuring unit and a personal monitoring unit, communicating with each other wirelessly.
- the measuring unit is a portable device which is placed on the skin of an human body area irrigated by a vascular bed, and which emits light at two different wavelengths, one of them corresponding to a maximum absorbance in the absorption spectrum in the glucose molecule within the near-infrared range.
- the measuring unit also captures the light which crosses through the measuring area, and the personal monitoring unit estimates blood glucose level based on this information, showing the result of the estimation to the user.
- the main advantage is a innocuous and painless use which prevents any type of discomfort or annoyance to the user. Furthermore, the measurements can be repeated as many times as desired.
- Another advantage of the proposed device is its low cost, since it uses off-the-shelf electronic components and does not require reactive strips which would increase the ongoing cost of the device.
- the main advantages thereof are also its low cost (it does not need supplements which increase the ongoing cost), safety (it does not require the insertion of elements under the skin that can cause irritations, in addition to the danger of infections that this implies) and the precision thereof, since it analyses the glucose component in blood itself and not that of the interstitial fluid, which can induce errors.
- the device has other innovative features and technical advantages:
- the device object of the invention is based on the technique of infrared spectroscopy. Compared to other proposals based on this technique, the device and method described in the present invention have a series of novelties and innovations: 1) An absolute normalisation consisting of a comparative analysis with respect to a second wavelength unaffected by the presence of glucose molecules. 2) Access to the arterial component of the blood, identifying the pulsating components in the signals captured. 3) A relative normalisation against fluctuations in the light level, movements, and other conditioning factors, consisting of a comparative analysis with respect to the continuous levels in the signals captured. 4) Customisation of the glucose estimation model depending on the particular characteristics of the person and the context wherein the measurement is performed.
- the novelties of the object of the invention are represented in the set of claims accompanying this description.
- a first aspect of the invention proposed here shown in figure 1 it describes a device (1) for non-invasive blood glucose level estimation, which comprises a device formed by two units: a measuring unit (2) and a personal monitoring unit (3).
- the device (1) is capable of communicating wirelessly and bidirectionally with an external service provider (21).
- the measuring unit (2) is a portable device which is placed on the skin of a human area body irrigated by a vascular bed, and which emits light at two different wavelengths, one of them corresponding to a maximum absorbance in the absorption spectrum in the glucose molecule within the near-infrared range.
- the measuring unit (2) captures the light which crosses through the measuring area, and in conjunction with the personal monitoring unit (3), performs a blood glucose level estimation by means of a computational model based on the following conditions: 1) isolating the influence of the glucose from the relationship existing in the amount of light received at each of the wavelengths; 2) normalising the estimation with respect to the influence of the ambient light and with respect to stationary properties of the measurement such as the level of light emitted, the properties of the tissues, the arrangement and features of the light emitters and the photodetector, or the influence of the measuring area, as well as motion artefacts and other sources of low-frequency noise; 3) isolating the influence of the arterial blood considering the pulsating component of the received signals.
- the measuring unit (2) comprises the following modules, referred to in figure 2 :
- the measuring module (4) comprises the following components, referred to in figure 3 :
- the information generated by the measuring unit (2) is transmitted wirelessly to the personal monitoring device (3), with which it maintains a bidirectional communications link.
- the start time of the measurement can be activated locally by means of a pushbutton (8) on the measuring unit (2) or it can be activated remotely by means of sending a command from the personal monitoring unit (3). Also by means of another command, the time instants wherein the automatic glucose estimations would be performed could be previously configured.
- the personal monitoring unit (3) With greater capabilities, both in terms of hardware and software, than the measuring unit (2), the part of processing with the greatest computational load associated with the method for glucose level estimation is developed.
- the multilevel distribution of the processing favours energy saving and reduces the computational load.
- the personal monitoring unit (3) can also be responsible for the processing and the management of the information coming from other portable sensors connected to it, which can be related to other physiological variables (respiratory rhythm, heart rate, ECG, heart rate variability, body temperature, physical activity, falls, body composition, skin impedance and pulse oximetry, etc.).
- the personal monitoring unit (3) comprises the following modules, referring to figure 4 :
- the personal monitoring unit (3) is portable, although in other possible embodiments it can also be a fixed installation.
- Such device can be implemented physically by means of a smartphone or a tablet.
- the measuring unit (2) and the personal monitoring unit (3) maintain a real-time timing system in order to manage the instants of measurement and the time periods of the operations. This timing system is also responsible for assigning to each estimation the instant in time in which they are performed.
- the personal monitoring unit (3) is responsible for coordinating the realization of the glucose estimations according to a pre-established plan, which can be configured by an expert user locally through the interface (19) of the device or remotely through telematic services of the e-Health system.
- Such estimations will be activated in the measuring unit (2) by means of sending a command.
- a hierarchical procedure is established from the personal monitoring unit (3) to the measuring unit (2) based on the sending of commands for the synchronisation of the timing systems.
- the different users, both experts and monitored users can also activate the instantaneous performance of an estimation. This instantaneous activation can be performed from the pushbutton (8) of the measuring unit (2) or from the interface (19) of the personal monitoring unit (3).
- the personal monitoring unit (3) can manage the information in an autonomous manner, including alarm management, establishing communications in a seamless manner to the user with the measuring unit (2) and with an external service provider (21) in order to integrate information and the alarms in an e-Health system.
- the structural and functional modularity of the device for the non-invasive blood glucose level estimation provides a distributed device (1), wherein the measuring unit (2) is physically separated from the personal monitoring unit (3).
- Another design with a monolithic device, shown in figure 5 wherein the measuring unit (2) is integrated together with the personal monitoring unit (3) in a single device (23) is not covered by the claimed device.
- the communications between both units can be performed directly or wired (not wireless).
- the measuring unit (2) and the personal monitoring unit (3) can share physical components in the monolithic configuration (device (23)), such as a single computer module.
- the first and second light emitters E1 and E2 (9, 11) are arranged such that the light beams cross through a relatively translucent body area (10) (a finger, for example), and are captured by a photodetector (12) located on the opposite side of the body area.
- the measuring unit (2) is incorporated in a casing opaque to the spectrum of light wherein the photodetector (12) is sensitive, which is configured to maintain a constant pressure on the measuring area (10).
- the measuring unit (2) incorporates a temperature module (24), which is responsible for measuring the temperature of the measuring area (10), such that the glucose estimation model incorporates this data in order to adjust the coefficients as a function of the temperature.
- the device in addition to the components and elements making up the device as defined in claim 1, it is also characterised in the method used for the non-invasive blood glucose level estimation, which is performed in a distributed manner in two levels: a first level of processing in the measuring unit (2), and a second level of processing in the personal monitoring unit (3).
- a distributed processing architecture and methodology are established, which is advantageous in terms of computing and energy saving.
- computing because such multilevel structure enables the processing load between the two devices to be compensated for in order to prevent computational overload.
- the energy because the highest energy consumption in portable devices is related to sending data wirelessly. As multilevel processing reduces and abstracts the wireless information to be transmitted, energy saving is thus favoured.
- Said method comprises the following operations, referring to figure 6 :
- the dependence of the model for glucose level estimation with respect to the parameters D1, D2, D3, D4 and D5 is based on coefficients which can be remotely configured by means of sending commands.
- the value of the coefficients is fixed by means of a quantitative method (least squares methods, genetic algorithms, swarm intelligence or neural networks), which minimises the mean square error of the estimations in a reference study, which is used as a calibration method.
- a generalised model wherein the value of the coefficients is adapted for the use of the model in multiple users
- a customised model wherein the value of the coefficients is adjusted in order to optimise the glucose estimations for a given user
- a generalised and customisable model which includes the dependence with other parameters related to the particular characteristics of the user, such as age, sex, the type of diabetes or the context of the measuring.
- this proposal adds the possibility of selecting the classification method of the user, based on the results of the estimation.
- the selected classification method will establish thresholds based on the blood glucose level, which will enable the user to be classified into different levels, for example: very high, high, normal, low or very low.
- the thresholds, levels and the result of the classification will be displayed in a manner related to the representation method selected for the estimation (text, graphic, auditory, etc. or a multiple selection thereof).
- the classification method assumes prior clinical knowledge and classification standards in order to provide direct information about the state of the user and thus facilitate their evaluation and diagnosis.
- Such historical record will be displayed in a manner related to the selected representation method (text, graphic, auditory, etc. or a multiple selection thereof).
- the date and time when the estimation was performed can be identified.
- the object of the invention may comprise additional processing on the record of the measurements which has the object of automatically establishing trends, patterns and predictions in the history of the measurements, which may be notified to the user.
- the second computer module (18) also implements a system for detecting undesirable situations, which, if detected, would generate a series of local and remote alarms which would enable preventive action on the user.
- a system for detecting undesirable situations which, if detected, would generate a series of local and remote alarms which would enable preventive action on the user.
- Such system uses a library of locally or remotely configurable indicators and a table with critical values for the generation of alarms related to said indicators. These indicators can be associated with a specific glucose estimation, but also with an analysis of trends, patterns and predictions of the history of the estimations.
- the logic and the decision rules which govern the activation of the alarms can also be configured to relate one or more of the indicators.
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ES201930045A ES2774983B2 (es) | 2019-01-22 | 2019-01-22 | Dispositivo portable y metodo para la estimacion no invasiva del nivel de glucosa en sangre |
PCT/ES2020/070027 WO2020152380A1 (es) | 2019-01-22 | 2020-01-17 | Dispositivo portable y método para la estimación no invasiva del nivel de glucosa en sangre |
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EP3916376A1 EP3916376A1 (en) | 2021-12-01 |
EP3916376A4 EP3916376A4 (en) | 2022-10-12 |
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EP3916376B1 true EP3916376B1 (en) | 2024-04-17 |
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EP20745840.7A Active EP3916376B1 (en) | 2019-01-22 | 2020-01-17 | Portable device and method for non-invasive blood glucose level estimation |
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US (1) | US20220007975A1 (ja) |
EP (1) | EP3916376B1 (ja) |
JP (1) | JP2022519031A (ja) |
KR (1) | KR20210118438A (ja) |
CN (1) | CN113692530A (ja) |
AU (1) | AU2020211758A1 (ja) |
BR (1) | BR112021014398A2 (ja) |
CA (1) | CA3127431A1 (ja) |
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CN114073519B (zh) * | 2021-12-03 | 2024-06-07 | 中山大学·深圳 | 一种基于心率变异性的无创血糖检测方法及装置 |
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MX2021008767A (es) | 2021-11-12 |
WO2020152380A1 (es) | 2020-07-30 |
IL285043A (en) | 2021-09-30 |
AU2020211758A1 (en) | 2021-08-12 |
ES2774983A1 (es) | 2020-07-23 |
US20220007975A1 (en) | 2022-01-13 |
CA3127431A1 (en) | 2020-07-30 |
EP3916376C0 (en) | 2024-04-17 |
SG11202111220XA (en) | 2021-11-29 |
MA54828A (fr) | 2022-04-27 |
ES2774983B2 (es) | 2021-06-10 |
EP3916376A1 (en) | 2021-12-01 |
EP3916376A4 (en) | 2022-10-12 |
BR112021014398A2 (pt) | 2021-09-21 |
KR20210118438A (ko) | 2021-09-30 |
JP2022519031A (ja) | 2022-03-18 |
CN113692530A (zh) | 2021-11-23 |
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